AI Engineer (HS_Kitchen)

LG Electronics, Inc.

Bengaluru

On-site

INR 1,800,000 - 3,200,000

Full time

28 hours ago
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Job summary

LG Electronics, Inc. in Bengaluru/Noida is seeking an AI/ML Engineer to design, develop, and deploy ML/DL models on resource-constrained edge devices. The role focuses on optimizing performance, accuracy, and power efficiency across edge computing platforms.

The ideal candidate will have deep knowledge of ML/DL fundamentals, model optimization, transfer learning, and hands-on experience with TensorFlow, PyTorch, and Scikit-Learn, plus Python and C++ programming skills.

Qualifications

  • Strong understanding and hands-on experience in Machine Learning, Deep Learning, Model Optimization, Transfer Learning, Statistical Modeling.
  • Experience with industry-standard AI frameworks and algorithms.
  • Hands-on experience with LSTM, GRU, XGBoost, LightGBM.
  • Strong Python programming and good C++ programming skills; experience in algorithm design and optimization.

Responsibilities

  • Design, develop, train, and optimize ML/DL models for edge computing environments.
  • Implement and deploy AI solutions on low-resource platforms with focus on performance and power efficiency.
  • Develop and maintain end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment.
  • Perform model tuning, quantization, pruning, and verification for production deployment.
  • Apply transfer learning techniques to improve model accuracy and reduce training efforts.
  • Evaluate and benchmark AI models for latency, memory usage, and computational efficiency.
  • Collaborate with cross-functional teams to integrate AI algorithms into embedded and edge systems.
  • Analyze model performance and continuously improve accuracy, robustness, and scalability.
  • Stay updated with advancements in AI, Deep Learning, and Edge Computing technologies.

Skills

ML
DL
Model Optimization
Transfer Learning
Statistical Modeling
Predictive Analytics

Tools

TensorFlow
PyTorch
Scikit-Learn

Job description

Job Description – AI/ML Engineer (Edge AI & Deep Learning)

Position: AI/ML Engineer – Edge AI Computing
Experience: 2-5 Years (can be adjusted based on requirement)
Location: Bangalore / Noida
Department: AI Research & Development

Job Summary

We are seeking a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, and Edge AI Computing. The candidate will be responsible for designing, developing, optimizing, and deploying AI models on resource-constrained edge devices. The role requires deep understanding of ML/DL fundamentals, model optimization techniques, mathematical foundations of neural networks, and hands-on experience with industry-standard AI frameworks and algorithms.

Key Responsibilities
  • Design, develop, train, and optimize Machine Learning and Deep Learning models for edge computing environments.
  • Implement and deploy AI solutions on low-resource computing platforms with focus on performance, accuracy, and power efficiency.
  • Develop and maintain end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment.
  • Perform model tuning, optimization, quantization, pruning, and verification for production deployment.
  • Apply transfer learning techniques to improve model accuracy and reduce training efforts.
  • Evaluate and benchmark AI models for latency, memory consumption, and computational efficiency.
  • Collaborate with cross-functional teams to integrate AI algorithms into embedded and edge systems.
  • Analyze model performance and continuously improve accuracy, robustness, and scalability.
  • Stay updated with the latest advancements in AI, Deep Learning, and Edge Computing technologies.
Required Technical Skills
  • Strong understanding and hands-on experience in:
    • Machine Learning (ML)
    • Deep Learning (DL)
    • Model Optimization & Verification
    • Transfer Learning
    • Statistical Modeling
    • Predictive Analytics
  • TensorFlow
  • PyTorch
  • Scikit-Learn

Hands-on experience with:

  • LSTM (Long Short-Term Memory)
  • GRU (Gated Recurrent Unit)
  • XGBoost
  • LightGBM
Programming Skills
  • Strong Python Programming
  • Good C++ Programming Skills
  • Experience in algorithm design and optimization
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